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Backend / Data · Summer 2026

AgriTwinXR

An asynchronous streaming telemetry platform that ingests high-frequency sensor events across distributed services, with operational dashboards for real-time monitoring.

PythonFastAPIWebSocketsDocker
Conceptual architecture illustration for AgriTwinXR; not a project screenshot
40%lower ingestion latency

The problem

High-frequency sensor events require low-latency ingestion and resilient delivery under burst traffic.

The solution

Non-blocking event loops and compact serialization reduce transmission and ingestion latency.

System architecture

Sensor events → asynchronous telemetry pipeline → distributed services → monitoring endpoints and operational dashboards.

Engineering challenges

Managing backpressure, connection health, and burst traffic without losing packets.

Results & impact

  • 40% lower end-to-end transmission and ingestion latency
  • Resilient connection pooling, heartbeat monitors, and backpressure buffers
  • Zero dropped packets under burst traffic in project testing

Results reported in the supplied resume; independent benchmarks are not provided.

Repository links, live demos, and project screenshots have not been provided.

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